Dr. Tamás Bódai - MATE Research
Overview
Tamás Bódai’s research areas include thermodynamics and dynamics of the climate system, edge states, tipping points and critical transitions in the climate system, transient chaos in open systems, noise-induced chaos, climate sensitivity, response of multi-scale dynamical climate models to external forcing; snapshot/pullback attractors, geoengineering, fluctuation-dissipation relations in the climate system, ergodicity of the climate system, snapshot attractors of nonautonomous systems and its application to climate science, climate emulation, atmospheric and oceanic teleconnections (e.g. ENSO-Indian monsoon), extreme value statistics and predictability in dynamical systems and stochastic processes featuring heavy tails and its application to wind energy.
Research keywords:
Publications
https://doi.org/10.21203/rs.3.rs-3302963/v4
climate emulator development using response theory1/ Mohammad Ali, Dávid Polgári, Adél Sepsi, Levente Kontra, Ágnes Dalmadi, Zoltán Havelda, László Sági and András Kis (2024), Rapid and cost-effective molecular karyotyping in wheat, barley, and their cross-progeny by chromosome-specific multiplex PCR, Plant Methods, 20: 37, doi: 10.1186/s13007-024-01162-x
https://doi.org/10.21203/rs.3.rs-3308863/v2
https://doi.org/10.1063/1.5122255
geoengineering impact assessment
https://doi.org/10.21203/rs.3.rs-3302963/v4
https://doi.org/10.21203/rs.3.rs-3308863/v2
https://doi.org/10.1063/1.5122255
large ensemble simulation protocol development
https://doi.org/10.1002/essoar.10510833.3
forced change of climatic teleconnections
https://doi.org/10.1038/s41612-023-00541-w
Projects
2/ Investigation of heat stress linked RNAi and crop quality determining genes by genome editing technology in barley
Project no. 1.:
Genome editing revolutionizes site-directed mutagenesis in molecular biology. Our lab pioneers barley genome editing, expanding experiments. Using bioinformatics, we'll pinpoint RNA interference factors (DCL, AGO, RDR) in barley. Heat stress-related factors will be identified via gene expression analysis in treated plants, followed by genome editing to understand their role in stress response. We'll also target the SIX-ROWED SPIKE (VRS) gene for enhanced grain characteristics. To bolster reliability, we'll develop a high-fidelity, plant-specific Cas9 construct based on published functional studies.
Conditional and forced climate change
3/ Investigation of the regulation and activity of RNA interference executor complexes in model and crop plants
RNA interference (RNAi), a small non-coding RNA (smRNA) system, regulates gene expression, development, stresses, epigenetics, and defense. Micro (mi) RNAs and small interfering (si) RNAs control target RNAs through degradation or repression. The RNA-induced silencing complex (RISC) features ARGONAUTE1 (AGO1), pivotal in siRNA and miRNA pathways. AGO1 regulation, influenced by miR168, exhibits unique aspects compared to canonical miRNA control. Our goal is to explore fine-tuned, tissue-specific AGO1 activity, unveiling specific regulatory processes and its role in development. Utilizing size separation, we'll analyze RISC-bound smRNAs through next-generation sequencing, shedding light on loading regulation. A novel gain-of-function mutant screen will identify factors modulating the RNA interference pathway. Results will be applied to economically crucial crops like pepper and wheat.
For the real Earth system which has multiple time scales, the full snapshot attractor is impractical to represent the climate. Instead, with an interest in anthropogenic climate change, we would like to define climate in a conditional sense, when some slow time scale process can be considered as a "carrier" or forcing for the climate beside the actual external anthropogenic forcing. We will examine if such slow processes do show up in climate change signals.
